body stringlengths 26 98.2k | body_hash int64 -9,222,864,604,528,158,000 9,221,803,474B | docstring stringlengths 1 16.8k | path stringlengths 5 230 | name stringlengths 1 96 | repository_name stringlengths 7 89 | lang stringclasses 1
value | body_without_docstring stringlengths 20 98.2k |
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def share_entity_group_using_post_with_http_info(self, entity_group_id, **kwargs):
"Share the Entity Group (shareEntityGroup) # noqa: E501\n\n Share the entity group with certain user group based on the provided Share Group Request. The request is quite flexible and processing of the request involves multip... | 4,922,334,354,604,789,000 | Share the Entity Group (shareEntityGroup) # noqa: E501
Share the entity group with certain user group based on the provided Share Group Request. The request is quite flexible and processing of the request involves multiple security checks using platform RBAC feature. Available for users with 'TENANT_ADMIN' or 'CUSTO... | tb_rest_client/api/api_pe/entity_group_controller_api.py | share_entity_group_using_post_with_http_info | D34DPlayer/thingsboard-python-rest-client | python | def share_entity_group_using_post_with_http_info(self, entity_group_id, **kwargs):
"Share the Entity Group (shareEntityGroup) # noqa: E501\n\n Share the entity group with certain user group based on the provided Share Group Request. The request is quite flexible and processing of the request involves multip... |
def unassign_entity_group_from_edge_using_delete(self, edge_id, group_type, entity_group_id, **kwargs):
"Unassign entity group from edge (unassignEntityGroupFromEdge) # noqa: E501\n\n Clears assignment of the entity group to the edge. Unassignment works in async way - first, 'unassign' notification event pu... | -3,184,272,104,746,827,300 | Unassign entity group from edge (unassignEntityGroupFromEdge) # noqa: E501
Clears assignment of the entity group to the edge. Unassignment works in async way - first, 'unassign' notification event pushed to edge queue on platform. Second, remote edge service will receive an 'unassign' command to remove entity group (... | tb_rest_client/api/api_pe/entity_group_controller_api.py | unassign_entity_group_from_edge_using_delete | D34DPlayer/thingsboard-python-rest-client | python | def unassign_entity_group_from_edge_using_delete(self, edge_id, group_type, entity_group_id, **kwargs):
"Unassign entity group from edge (unassignEntityGroupFromEdge) # noqa: E501\n\n Clears assignment of the entity group to the edge. Unassignment works in async way - first, 'unassign' notification event pu... |
def unassign_entity_group_from_edge_using_delete_with_http_info(self, edge_id, group_type, entity_group_id, **kwargs):
"Unassign entity group from edge (unassignEntityGroupFromEdge) # noqa: E501\n\n Clears assignment of the entity group to the edge. Unassignment works in async way - first, 'unassign' notifi... | -8,425,441,640,010,802,000 | Unassign entity group from edge (unassignEntityGroupFromEdge) # noqa: E501
Clears assignment of the entity group to the edge. Unassignment works in async way - first, 'unassign' notification event pushed to edge queue on platform. Second, remote edge service will receive an 'unassign' command to remove entity group (... | tb_rest_client/api/api_pe/entity_group_controller_api.py | unassign_entity_group_from_edge_using_delete_with_http_info | D34DPlayer/thingsboard-python-rest-client | python | def unassign_entity_group_from_edge_using_delete_with_http_info(self, edge_id, group_type, entity_group_id, **kwargs):
"Unassign entity group from edge (unassignEntityGroupFromEdge) # noqa: E501\n\n Clears assignment of the entity group to the edge. Unassignment works in async way - first, 'unassign' notifi... |
def _third_octave_levels(sig, fs):
'3rd octave filtering, squaring, smoothing, level calculation and\n downsampling to temporal resolution: 0,5 ms, i.e. sampling rate: 2 kHz\n\n See ISO 532-1 section 6.3\n\n Parameters\n ----------\n sig : numpy.ndarray\n time signal sampled at 48 kHz[pa]\n ... | 4,043,975,176,146,884,000 | 3rd octave filtering, squaring, smoothing, level calculation and
downsampling to temporal resolution: 0,5 ms, i.e. sampling rate: 2 kHz
See ISO 532-1 section 6.3
Parameters
----------
sig : numpy.ndarray
time signal sampled at 48 kHz[pa]
fs : int
time signal sampling frequency
Outputs
-------
third_octave_le... | mosqito/sq_metrics/loudness/loudness_zwtv/_third_octave_levels.py | _third_octave_levels | Igarciac117/MoSQITo | python | def _third_octave_levels(sig, fs):
'3rd octave filtering, squaring, smoothing, level calculation and\n downsampling to temporal resolution: 0,5 ms, i.e. sampling rate: 2 kHz\n\n See ISO 532-1 section 6.3\n\n Parameters\n ----------\n sig : numpy.ndarray\n time signal sampled at 48 kHz[pa]\n ... |
def vap(x, a, b, c):
'Vapor pressure model\n\n Parameters\n ----------\n x : int\n a : float\n b : float\n c : float\n\n Returns\n -------\n float\n np.exp(a+b/x+c*np.log(x))\n '
return np.exp(((a + (b / x)) + (c * np.log(x)))) | -7,761,664,097,999,010,000 | Vapor pressure model
Parameters
----------
x : int
a : float
b : float
c : float
Returns
-------
float
np.exp(a+b/x+c*np.log(x)) | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | vap | Ascarshen/nni | python | def vap(x, a, b, c):
'Vapor pressure model\n\n Parameters\n ----------\n x : int\n a : float\n b : float\n c : float\n\n Returns\n -------\n float\n np.exp(a+b/x+c*np.log(x))\n '
return np.exp(((a + (b / x)) + (c * np.log(x)))) |
def pow3(x, c, a, alpha):
'pow3\n\n Parameters\n ----------\n x : int\n c : float\n a : float\n alpha : float\n\n Returns\n -------\n float\n c - a * x**(-alpha)\n '
return (c - (a * (x ** (- alpha)))) | -4,558,576,408,274,066,400 | pow3
Parameters
----------
x : int
c : float
a : float
alpha : float
Returns
-------
float
c - a * x**(-alpha) | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | pow3 | Ascarshen/nni | python | def pow3(x, c, a, alpha):
'pow3\n\n Parameters\n ----------\n x : int\n c : float\n a : float\n alpha : float\n\n Returns\n -------\n float\n c - a * x**(-alpha)\n '
return (c - (a * (x ** (- alpha)))) |
def linear(x, a, b):
'linear\n\n Parameters\n ----------\n x : int\n a : float\n b : float\n\n Returns\n -------\n float\n a*x + b\n '
return ((a * x) + b) | -1,092,216,930,129,213,400 | linear
Parameters
----------
x : int
a : float
b : float
Returns
-------
float
a*x + b | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | linear | Ascarshen/nni | python | def linear(x, a, b):
'linear\n\n Parameters\n ----------\n x : int\n a : float\n b : float\n\n Returns\n -------\n float\n a*x + b\n '
return ((a * x) + b) |
def logx_linear(x, a, b):
'logx linear\n\n Parameters\n ----------\n x : int\n a : float\n b : float\n\n Returns\n -------\n float\n a * np.log(x) + b\n '
x = np.log(x)
return ((a * x) + b) | 4,003,974,454,394,717 | logx linear
Parameters
----------
x : int
a : float
b : float
Returns
-------
float
a * np.log(x) + b | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | logx_linear | Ascarshen/nni | python | def logx_linear(x, a, b):
'logx linear\n\n Parameters\n ----------\n x : int\n a : float\n b : float\n\n Returns\n -------\n float\n a * np.log(x) + b\n '
x = np.log(x)
return ((a * x) + b) |
def dr_hill_zero_background(x, theta, eta, kappa):
'dr hill zero background\n\n Parameters\n ----------\n x : int\n theta : float\n eta : float\n kappa : float\n\n Returns\n -------\n float\n (theta* x**eta) / (kappa**eta + x**eta)\n '
return ((theta * (x ** eta)) / ((kappa ... | -2,401,082,026,529,337,300 | dr hill zero background
Parameters
----------
x : int
theta : float
eta : float
kappa : float
Returns
-------
float
(theta* x**eta) / (kappa**eta + x**eta) | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | dr_hill_zero_background | Ascarshen/nni | python | def dr_hill_zero_background(x, theta, eta, kappa):
'dr hill zero background\n\n Parameters\n ----------\n x : int\n theta : float\n eta : float\n kappa : float\n\n Returns\n -------\n float\n (theta* x**eta) / (kappa**eta + x**eta)\n '
return ((theta * (x ** eta)) / ((kappa ... |
def log_power(x, a, b, c):
'"logistic power\n\n Parameters\n ----------\n x : int\n a : float\n b : float\n c : float\n\n Returns\n -------\n float\n a/(1.+(x/np.exp(b))**c)\n '
return (a / (1.0 + ((x / np.exp(b)) ** c))) | 8,904,214,296,093,443,000 | "logistic power
Parameters
----------
x : int
a : float
b : float
c : float
Returns
-------
float
a/(1.+(x/np.exp(b))**c) | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | log_power | Ascarshen/nni | python | def log_power(x, a, b, c):
'"logistic power\n\n Parameters\n ----------\n x : int\n a : float\n b : float\n c : float\n\n Returns\n -------\n float\n a/(1.+(x/np.exp(b))**c)\n '
return (a / (1.0 + ((x / np.exp(b)) ** c))) |
def pow4(x, alpha, a, b, c):
'pow4\n\n Parameters\n ----------\n x : int\n alpha : float\n a : float\n b : float\n c : float\n\n Returns\n -------\n float\n c - (a*x+b)**-alpha\n '
return (c - (((a * x) + b) ** (- alpha))) | 1,150,530,309,531,869,000 | pow4
Parameters
----------
x : int
alpha : float
a : float
b : float
c : float
Returns
-------
float
c - (a*x+b)**-alpha | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | pow4 | Ascarshen/nni | python | def pow4(x, alpha, a, b, c):
'pow4\n\n Parameters\n ----------\n x : int\n alpha : float\n a : float\n b : float\n c : float\n\n Returns\n -------\n float\n c - (a*x+b)**-alpha\n '
return (c - (((a * x) + b) ** (- alpha))) |
def mmf(x, alpha, beta, kappa, delta):
'Morgan-Mercer-Flodin\n http://www.pisces-conservation.com/growthhelp/index.html?morgan_mercer_floden.htm\n\n Parameters\n ----------\n x : int\n alpha : float\n beta : float\n kappa : float\n delta : float\n\n Returns\n -------\n float\n ... | -5,394,674,920,945,372,000 | Morgan-Mercer-Flodin
http://www.pisces-conservation.com/growthhelp/index.html?morgan_mercer_floden.htm
Parameters
----------
x : int
alpha : float
beta : float
kappa : float
delta : float
Returns
-------
float
alpha - (alpha - beta) / (1. + (kappa * x)**delta) | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | mmf | Ascarshen/nni | python | def mmf(x, alpha, beta, kappa, delta):
'Morgan-Mercer-Flodin\n http://www.pisces-conservation.com/growthhelp/index.html?morgan_mercer_floden.htm\n\n Parameters\n ----------\n x : int\n alpha : float\n beta : float\n kappa : float\n delta : float\n\n Returns\n -------\n float\n ... |
def exp4(x, c, a, b, alpha):
'exp4\n\n Parameters\n ----------\n x : int\n c : float\n a : float\n b : float\n alpha : float\n\n Returns\n -------\n float\n c - np.exp(-a*(x**alpha)+b)\n '
return (c - np.exp((((- a) * (x ** alpha)) + b))) | 7,751,033,301,510,852,000 | exp4
Parameters
----------
x : int
c : float
a : float
b : float
alpha : float
Returns
-------
float
c - np.exp(-a*(x**alpha)+b) | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | exp4 | Ascarshen/nni | python | def exp4(x, c, a, b, alpha):
'exp4\n\n Parameters\n ----------\n x : int\n c : float\n a : float\n b : float\n alpha : float\n\n Returns\n -------\n float\n c - np.exp(-a*(x**alpha)+b)\n '
return (c - np.exp((((- a) * (x ** alpha)) + b))) |
def ilog2(x, c, a):
'ilog2\n\n Parameters\n ----------\n x : int\n c : float\n a : float\n\n Returns\n -------\n float\n c - a / np.log(x)\n '
return (c - (a / np.log(x))) | -1,638,633,845,434,928,600 | ilog2
Parameters
----------
x : int
c : float
a : float
Returns
-------
float
c - a / np.log(x) | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | ilog2 | Ascarshen/nni | python | def ilog2(x, c, a):
'ilog2\n\n Parameters\n ----------\n x : int\n c : float\n a : float\n\n Returns\n -------\n float\n c - a / np.log(x)\n '
return (c - (a / np.log(x))) |
def weibull(x, alpha, beta, kappa, delta):
'Weibull model\n http://www.pisces-conservation.com/growthhelp/index.html?morgan_mercer_floden.htm\n\n Parameters\n ----------\n x : int\n alpha : float\n beta : float\n kappa : float\n delta : float\n\n Returns\n -------\n float\n a... | 6,887,383,915,405,984,000 | Weibull model
http://www.pisces-conservation.com/growthhelp/index.html?morgan_mercer_floden.htm
Parameters
----------
x : int
alpha : float
beta : float
kappa : float
delta : float
Returns
-------
float
alpha - (alpha - beta) * np.exp(-(kappa * x)**delta) | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | weibull | Ascarshen/nni | python | def weibull(x, alpha, beta, kappa, delta):
'Weibull model\n http://www.pisces-conservation.com/growthhelp/index.html?morgan_mercer_floden.htm\n\n Parameters\n ----------\n x : int\n alpha : float\n beta : float\n kappa : float\n delta : float\n\n Returns\n -------\n float\n a... |
def janoschek(x, a, beta, k, delta):
'http://www.pisces-conservation.com/growthhelp/janoschek.htm\n\n Parameters\n ----------\n x : int\n a : float\n beta : float\n k : float\n delta : float\n\n Returns\n -------\n float\n a - (a - beta) * np.exp(-k*x**delta)\n '
return (... | -8,035,998,551,225,298,000 | http://www.pisces-conservation.com/growthhelp/janoschek.htm
Parameters
----------
x : int
a : float
beta : float
k : float
delta : float
Returns
-------
float
a - (a - beta) * np.exp(-k*x**delta) | src/sdk/pynni/nni/curvefitting_assessor/curvefunctions.py | janoschek | Ascarshen/nni | python | def janoschek(x, a, beta, k, delta):
'http://www.pisces-conservation.com/growthhelp/janoschek.htm\n\n Parameters\n ----------\n x : int\n a : float\n beta : float\n k : float\n delta : float\n\n Returns\n -------\n float\n a - (a - beta) * np.exp(-k*x**delta)\n '
return (... |
def our_colours(colours=[]):
"\n Extract hexcodes for our colours\n If passed a sting, returns the matching hexcode.\n If passed a list, returns a list of hexcodes.\n Method from https://drsimonj.svbtle.com/creating-corporate-colour-palettes-for-ggplot2.\n - colours, list of strings\n\n Examples:\... | -2,128,949,553,459,649,800 | Extract hexcodes for our colours
If passed a sting, returns the matching hexcode.
If passed a list, returns a list of hexcodes.
Method from https://drsimonj.svbtle.com/creating-corporate-colour-palettes-for-ggplot2.
- colours, list of strings
Examples:
data.our_colours_raw
our_colours()
our_colours('green', 'blue', 'g... | ourstylePy/our_colours.py | our_colours | PeterGrahamJersey/ourstylePy | python | def our_colours(colours=[]):
"\n Extract hexcodes for our colours\n If passed a sting, returns the matching hexcode.\n If passed a list, returns a list of hexcodes.\n Method from https://drsimonj.svbtle.com/creating-corporate-colour-palettes-for-ggplot2.\n - colours, list of strings\n\n Examples:\... |
def our_colors(colours=[]):
'\n Alias for our_colours()\n '
return our_colours(colours) | -1,348,029,345,276,553,000 | Alias for our_colours() | ourstylePy/our_colours.py | our_colors | PeterGrahamJersey/ourstylePy | python | def our_colors(colours=[]):
'\n \n '
return our_colours(colours) |
@property
def access_control_allow_credentials(self):
'Whether credentials can be shared by the browser to\n JavaScript code. As part of the preflight request it indicates\n whether credentials can be used on the cross origin request.\n '
return ('Access-Control-Allow-Credentials' in self.h... | -2,807,124,438,663,061,000 | Whether credentials can be shared by the browser to
JavaScript code. As part of the preflight request it indicates
whether credentials can be used on the cross origin request. | venv/Lib/site-packages/werkzeug/wrappers/cors.py | access_control_allow_credentials | 997Yi/Flask-web | python | @property
def access_control_allow_credentials(self):
'Whether credentials can be shared by the browser to\n JavaScript code. As part of the preflight request it indicates\n whether credentials can be used on the cross origin request.\n '
return ('Access-Control-Allow-Credentials' in self.h... |
def __init__(__self__, *, resource_group_name: pulumi.Input[str], storage_account: pulumi.Input['StorageAccountArgs'], workspace_name: pulumi.Input[str], containers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]=None, e_tag: Optional[pulumi.Input[str]]=None, storage_insight_name: Optional[pulumi.Input[str]]=None,... | -41,640,019,047,830,790 | The set of arguments for constructing a StorageInsightConfig resource.
:param pulumi.Input[str] resource_group_name: The name of the resource group. The name is case insensitive.
:param pulumi.Input['StorageAccountArgs'] storage_account: The storage account connection details
:param pulumi.Input[str] workspace_name: Th... | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | __init__ | polivbr/pulumi-azure-native | python | def __init__(__self__, *, resource_group_name: pulumi.Input[str], storage_account: pulumi.Input['StorageAccountArgs'], workspace_name: pulumi.Input[str], containers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]=None, e_tag: Optional[pulumi.Input[str]]=None, storage_insight_name: Optional[pulumi.Input[str]]=None,... |
@property
@pulumi.getter(name='resourceGroupName')
def resource_group_name(self) -> pulumi.Input[str]:
'\n The name of the resource group. The name is case insensitive.\n '
return pulumi.get(self, 'resource_group_name') | 9,099,428,823,929,783,000 | The name of the resource group. The name is case insensitive. | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | resource_group_name | polivbr/pulumi-azure-native | python | @property
@pulumi.getter(name='resourceGroupName')
def resource_group_name(self) -> pulumi.Input[str]:
'\n \n '
return pulumi.get(self, 'resource_group_name') |
@property
@pulumi.getter(name='storageAccount')
def storage_account(self) -> pulumi.Input['StorageAccountArgs']:
'\n The storage account connection details\n '
return pulumi.get(self, 'storage_account') | 507,877,174,712,349,700 | The storage account connection details | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | storage_account | polivbr/pulumi-azure-native | python | @property
@pulumi.getter(name='storageAccount')
def storage_account(self) -> pulumi.Input['StorageAccountArgs']:
'\n \n '
return pulumi.get(self, 'storage_account') |
@property
@pulumi.getter(name='workspaceName')
def workspace_name(self) -> pulumi.Input[str]:
'\n The name of the workspace.\n '
return pulumi.get(self, 'workspace_name') | -6,043,356,629,165,876,000 | The name of the workspace. | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | workspace_name | polivbr/pulumi-azure-native | python | @property
@pulumi.getter(name='workspaceName')
def workspace_name(self) -> pulumi.Input[str]:
'\n \n '
return pulumi.get(self, 'workspace_name') |
@property
@pulumi.getter
def containers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
'\n The names of the blob containers that the workspace should read\n '
return pulumi.get(self, 'containers') | 2,516,808,853,289,985,000 | The names of the blob containers that the workspace should read | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | containers | polivbr/pulumi-azure-native | python | @property
@pulumi.getter
def containers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
'\n \n '
return pulumi.get(self, 'containers') |
@property
@pulumi.getter(name='eTag')
def e_tag(self) -> Optional[pulumi.Input[str]]:
'\n The ETag of the storage insight.\n '
return pulumi.get(self, 'e_tag') | 5,386,400,399,290,158,000 | The ETag of the storage insight. | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | e_tag | polivbr/pulumi-azure-native | python | @property
@pulumi.getter(name='eTag')
def e_tag(self) -> Optional[pulumi.Input[str]]:
'\n \n '
return pulumi.get(self, 'e_tag') |
@property
@pulumi.getter(name='storageInsightName')
def storage_insight_name(self) -> Optional[pulumi.Input[str]]:
'\n Name of the storageInsightsConfigs resource\n '
return pulumi.get(self, 'storage_insight_name') | -9,068,494,032,015,256,000 | Name of the storageInsightsConfigs resource | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | storage_insight_name | polivbr/pulumi-azure-native | python | @property
@pulumi.getter(name='storageInsightName')
def storage_insight_name(self) -> Optional[pulumi.Input[str]]:
'\n \n '
return pulumi.get(self, 'storage_insight_name') |
@property
@pulumi.getter
def tables(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
'\n The names of the Azure tables that the workspace should read\n '
return pulumi.get(self, 'tables') | -5,734,022,118,253,810,000 | The names of the Azure tables that the workspace should read | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | tables | polivbr/pulumi-azure-native | python | @property
@pulumi.getter
def tables(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
'\n \n '
return pulumi.get(self, 'tables') |
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[(str, pulumi.Input[str])]]]:
'\n Resource tags.\n '
return pulumi.get(self, 'tags') | -2,047,115,851,061,118,500 | Resource tags. | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | tags | polivbr/pulumi-azure-native | python | @property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[(str, pulumi.Input[str])]]]:
'\n \n '
return pulumi.get(self, 'tags') |
@overload
def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions]=None, containers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]=None, e_tag: Optional[pulumi.Input[str]]=None, resource_group_name: Optional[pulumi.Input[str]]=None, storage_account: Optional[pulumi.Input[pulumi.InputType[... | 8,636,932,789,713,882,000 | The top level storage insight resource container.
API Version: 2020-08-01.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] containers: The names of the blob containers that the workspace should read
:para... | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | __init__ | polivbr/pulumi-azure-native | python | @overload
def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions]=None, containers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]=None, e_tag: Optional[pulumi.Input[str]]=None, resource_group_name: Optional[pulumi.Input[str]]=None, storage_account: Optional[pulumi.Input[pulumi.InputType[... |
@overload
def __init__(__self__, resource_name: str, args: StorageInsightConfigArgs, opts: Optional[pulumi.ResourceOptions]=None):
"\n The top level storage insight resource container.\n API Version: 2020-08-01.\n\n :param str resource_name: The name of the resource.\n :param StorageInsi... | 3,297,964,980,969,051,000 | The top level storage insight resource container.
API Version: 2020-08-01.
:param str resource_name: The name of the resource.
:param StorageInsightConfigArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource. | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | __init__ | polivbr/pulumi-azure-native | python | @overload
def __init__(__self__, resource_name: str, args: StorageInsightConfigArgs, opts: Optional[pulumi.ResourceOptions]=None):
"\n The top level storage insight resource container.\n API Version: 2020-08-01.\n\n :param str resource_name: The name of the resource.\n :param StorageInsi... |
@staticmethod
def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions]=None) -> 'StorageInsightConfig':
"\n Get an existing StorageInsightConfig resource's state with the given name, id, and optional extra\n properties used to qualify the lookup.\n\n :param str ... | 4,728,537,262,257,571,000 | Get an existing StorageInsightConfig resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts... | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | get | polivbr/pulumi-azure-native | python | @staticmethod
def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions]=None) -> 'StorageInsightConfig':
"\n Get an existing StorageInsightConfig resource's state with the given name, id, and optional extra\n properties used to qualify the lookup.\n\n :param str ... |
@property
@pulumi.getter
def containers(self) -> pulumi.Output[Optional[Sequence[str]]]:
'\n The names of the blob containers that the workspace should read\n '
return pulumi.get(self, 'containers') | 5,895,872,450,965,376,000 | The names of the blob containers that the workspace should read | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | containers | polivbr/pulumi-azure-native | python | @property
@pulumi.getter
def containers(self) -> pulumi.Output[Optional[Sequence[str]]]:
'\n \n '
return pulumi.get(self, 'containers') |
@property
@pulumi.getter(name='eTag')
def e_tag(self) -> pulumi.Output[Optional[str]]:
'\n The ETag of the storage insight.\n '
return pulumi.get(self, 'e_tag') | 6,580,174,356,673,608,000 | The ETag of the storage insight. | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | e_tag | polivbr/pulumi-azure-native | python | @property
@pulumi.getter(name='eTag')
def e_tag(self) -> pulumi.Output[Optional[str]]:
'\n \n '
return pulumi.get(self, 'e_tag') |
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
'\n The name of the resource\n '
return pulumi.get(self, 'name') | 2,231,345,607,626,165,800 | The name of the resource | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | name | polivbr/pulumi-azure-native | python | @property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
'\n \n '
return pulumi.get(self, 'name') |
@property
@pulumi.getter
def status(self) -> pulumi.Output['outputs.StorageInsightStatusResponse']:
'\n The status of the storage insight\n '
return pulumi.get(self, 'status') | -5,288,598,013,457,447,000 | The status of the storage insight | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | status | polivbr/pulumi-azure-native | python | @property
@pulumi.getter
def status(self) -> pulumi.Output['outputs.StorageInsightStatusResponse']:
'\n \n '
return pulumi.get(self, 'status') |
@property
@pulumi.getter(name='storageAccount')
def storage_account(self) -> pulumi.Output['outputs.StorageAccountResponse']:
'\n The storage account connection details\n '
return pulumi.get(self, 'storage_account') | -4,159,935,955,763,377,000 | The storage account connection details | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | storage_account | polivbr/pulumi-azure-native | python | @property
@pulumi.getter(name='storageAccount')
def storage_account(self) -> pulumi.Output['outputs.StorageAccountResponse']:
'\n \n '
return pulumi.get(self, 'storage_account') |
@property
@pulumi.getter
def tables(self) -> pulumi.Output[Optional[Sequence[str]]]:
'\n The names of the Azure tables that the workspace should read\n '
return pulumi.get(self, 'tables') | 6,806,337,111,924,012,000 | The names of the Azure tables that the workspace should read | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | tables | polivbr/pulumi-azure-native | python | @property
@pulumi.getter
def tables(self) -> pulumi.Output[Optional[Sequence[str]]]:
'\n \n '
return pulumi.get(self, 'tables') |
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Mapping[(str, str)]]]:
'\n Resource tags.\n '
return pulumi.get(self, 'tags') | -2,929,197,049,816,896,000 | Resource tags. | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | tags | polivbr/pulumi-azure-native | python | @property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Mapping[(str, str)]]]:
'\n \n '
return pulumi.get(self, 'tags') |
@property
@pulumi.getter
def type(self) -> pulumi.Output[str]:
'\n The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"\n '
return pulumi.get(self, 'type') | -5,449,551,391,296,740,000 | The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts" | sdk/python/pulumi_azure_native/operationalinsights/storage_insight_config.py | type | polivbr/pulumi-azure-native | python | @property
@pulumi.getter
def type(self) -> pulumi.Output[str]:
'\n \n '
return pulumi.get(self, 'type') |
def interpolate1d(x, values, tangents):
'Perform cubic hermite spline interpolation on a 1D spline.\n\n The x coordinates of the spline knots are at [0 : 1 : len(values)-1].\n Queries outside of the range of the spline are computed using linear\n extrapolation. See https://en.wikipedia.org/wiki/Cubic_Hermite_spl... | -6,282,021,684,821,428,000 | Perform cubic hermite spline interpolation on a 1D spline.
The x coordinates of the spline knots are at [0 : 1 : len(values)-1].
Queries outside of the range of the spline are computed using linear
extrapolation. See https://en.wikipedia.org/wiki/Cubic_Hermite_spline
for details, where "x" corresponds to `x`, "p" corr... | pioneer/robust_loss_pytorch/cubic_spline.py | interpolate1d | AaltoVision/automodulator | python | def interpolate1d(x, values, tangents):
'Perform cubic hermite spline interpolation on a 1D spline.\n\n The x coordinates of the spline knots are at [0 : 1 : len(values)-1].\n Queries outside of the range of the spline are computed using linear\n extrapolation. See https://en.wikipedia.org/wiki/Cubic_Hermite_spl... |
def print_data(data: list) -> None:
'\n 2차원 리스트의 내용을 출력\n 1 10 20 30 40\n 2 11 21 31 41\n ...\n\n\n :param data: 2차원 행렬 형태의 리스트\n :return: None\n '
readcsv = open('data/exam.csv', mode='r', encoding='utf-8')
line = readcsv.readline()
while line:
print(line.strip())
l... | -3,626,549,826,081,273,000 | 2차원 리스트의 내용을 출력
1 10 20 30 40
2 11 21 31 41
...
:param data: 2차원 행렬 형태의 리스트
:return: None | lec07_file/file07.py | print_data | SOOIN-KIM/lab-python | python | def print_data(data: list) -> None:
'\n 2차원 리스트의 내용을 출력\n 1 10 20 30 40\n 2 11 21 31 41\n ...\n\n\n :param data: 2차원 행렬 형태의 리스트\n :return: None\n '
readcsv = open('data/exam.csv', mode='r', encoding='utf-8')
line = readcsv.readline()
while line:
print(line.strip())
l... |
def construct_k_colored_graph(k, n, p):
'\n Constructs a k colored graph of n nodes in which a pair\n of nodes shares an edge with probability 0 <= p <= 1.\n\n Note: this code is for demonstrative purposes only; the\n solution for such a problem will not necessarily exist,\n in which case the concret... | 8,291,928,439,992,019,000 | Constructs a k colored graph of n nodes in which a pair
of nodes shares an edge with probability 0 <= p <= 1.
Note: this code is for demonstrative purposes only; the
solution for such a problem will not necessarily exist,
in which case the concretization process will throw
an exception. | examples/example-5.py | construct_k_colored_graph | abarreal/coopy | python | def construct_k_colored_graph(k, n, p):
'\n Constructs a k colored graph of n nodes in which a pair\n of nodes shares an edge with probability 0 <= p <= 1.\n\n Note: this code is for demonstrative purposes only; the\n solution for such a problem will not necessarily exist,\n in which case the concret... |
def close(self):
'\n Close the socket.\n '
self.sock.close() | 4,806,724,708,709,453,000 | Close the socket. | python/lib/socket.py | close | TpmKranz/netsec-scion | python | def close(self):
'\n \n '
self.sock.close() |
def __init__(self, bind=None, addr_type=AddrType.IPV6, reuse=False):
'\n Initialize a UDP socket, then call superclass init for socket options\n and binding.\n\n :param tuple bind:\n Optional tuple of (`str`, `int`, `str`) describing respectively the\n address and port to ... | -3,654,269,377,549,289,000 | Initialize a UDP socket, then call superclass init for socket options
and binding.
:param tuple bind:
Optional tuple of (`str`, `int`, `str`) describing respectively the
address and port to bind to, and an optional description.
:param addr_type:
Socket domain. Must be one of :const:`~lib.types.AddrType.IPV... | python/lib/socket.py | __init__ | TpmKranz/netsec-scion | python | def __init__(self, bind=None, addr_type=AddrType.IPV6, reuse=False):
'\n Initialize a UDP socket, then call superclass init for socket options\n and binding.\n\n :param tuple bind:\n Optional tuple of (`str`, `int`, `str`) describing respectively the\n address and port to ... |
def bind(self, addr, port=0, desc=None):
'\n Bind socket to the specified address & port. If `addr` is ``None``, the\n socket will bind to all interfaces.\n\n :param str addr: Address to bind to (can be ``None``, see above).\n :param int port: Port to bind to.\n :param str desc: O... | 6,334,852,750,349,397,000 | Bind socket to the specified address & port. If `addr` is ``None``, the
socket will bind to all interfaces.
:param str addr: Address to bind to (can be ``None``, see above).
:param int port: Port to bind to.
:param str desc: Optional purpose of the port. | python/lib/socket.py | bind | TpmKranz/netsec-scion | python | def bind(self, addr, port=0, desc=None):
'\n Bind socket to the specified address & port. If `addr` is ``None``, the\n socket will bind to all interfaces.\n\n :param str addr: Address to bind to (can be ``None``, see above).\n :param int port: Port to bind to.\n :param str desc: O... |
def send(self, data, dst=None):
'\n Send data to a specified destination.\n\n :param bytes data: Data to send.\n :param tuple dst:\n Tuple of (`str`, `int`) describing the destination address and port,\n respectively.\n '
try:
ret = self.sock.sendto(data... | -7,940,587,675,143,595,000 | Send data to a specified destination.
:param bytes data: Data to send.
:param tuple dst:
Tuple of (`str`, `int`) describing the destination address and port,
respectively. | python/lib/socket.py | send | TpmKranz/netsec-scion | python | def send(self, data, dst=None):
'\n Send data to a specified destination.\n\n :param bytes data: Data to send.\n :param tuple dst:\n Tuple of (`str`, `int`) describing the destination address and port,\n respectively.\n '
try:
ret = self.sock.sendto(data... |
def recv(self, block=True):
'\n Read data from socket.\n\n :returns:\n Tuple of (`bytes`, (`str`, `int`) containing the data, and remote\n host/port respectively.\n '
flags = 0
if (not block):
flags = MSG_DONTWAIT
while True:
try:
re... | -3,302,182,164,630,096,400 | Read data from socket.
:returns:
Tuple of (`bytes`, (`str`, `int`) containing the data, and remote
host/port respectively. | python/lib/socket.py | recv | TpmKranz/netsec-scion | python | def recv(self, block=True):
'\n Read data from socket.\n\n :returns:\n Tuple of (`bytes`, (`str`, `int`) containing the data, and remote\n host/port respectively.\n '
flags = 0
if (not block):
flags = MSG_DONTWAIT
while True:
try:
re... |
def __init__(self, reg=None, bind_ip=(), bind_unix=None, sock=None):
'\n Initialise a socket of the specified type, and optionally bind it to an\n address/port.\n\n :param tuple reg:\n Optional tuple of (`SCIONAddr`, `int`, `SVCType`, `bool`)\n describing respectively the ... | 6,635,898,148,288,106,000 | Initialise a socket of the specified type, and optionally bind it to an
address/port.
:param tuple reg:
Optional tuple of (`SCIONAddr`, `int`, `SVCType`, `bool`)
describing respectively the address, port, SVC type, and init value
to register with the dispatcher. In sockets that do not connect to
the di... | python/lib/socket.py | __init__ | TpmKranz/netsec-scion | python | def __init__(self, reg=None, bind_ip=(), bind_unix=None, sock=None):
'\n Initialise a socket of the specified type, and optionally bind it to an\n address/port.\n\n :param tuple reg:\n Optional tuple of (`SCIONAddr`, `int`, `SVCType`, `bool`)\n describing respectively the ... |
def send(self, data, dst=None):
'\n Send data through the socket.\n\n :param bytes data: Data to send.\n '
if dst:
(dst_addr, dst_port) = dst
if isinstance(dst_addr, str):
dst_addr = haddr_parse_interface(dst_addr)
addr_type = struct.pack('B', dst_addr.TY... | 1,264,137,445,995,965,200 | Send data through the socket.
:param bytes data: Data to send. | python/lib/socket.py | send | TpmKranz/netsec-scion | python | def send(self, data, dst=None):
'\n Send data through the socket.\n\n :param bytes data: Data to send.\n '
if dst:
(dst_addr, dst_port) = dst
if isinstance(dst_addr, str):
dst_addr = haddr_parse_interface(dst_addr)
addr_type = struct.pack('B', dst_addr.TY... |
def recv(self, block=True):
'\n Read data from socket.\n\n :returns: bytestring containing received data.\n '
flags = 0
if (not block):
flags = MSG_DONTWAIT
buf = recv_all(self.sock, (self.COOKIE_LEN + 5), flags)
if (not buf):
return (None, None)
(cookie, add... | 334,733,081,014,915,200 | Read data from socket.
:returns: bytestring containing received data. | python/lib/socket.py | recv | TpmKranz/netsec-scion | python | def recv(self, block=True):
'\n Read data from socket.\n\n :returns: bytestring containing received data.\n '
flags = 0
if (not block):
flags = MSG_DONTWAIT
buf = recv_all(self.sock, (self.COOKIE_LEN + 5), flags)
if (not buf):
return (None, None)
(cookie, add... |
def add(self, sock, callback):
'\n Add new socket.\n\n :param UDPSocket sock: UDPSocket to add.\n '
if (not sock.is_active()):
return
self._sel.register(sock.sock, selectors.EVENT_READ, (sock, callback)) | 558,938,295,974,006,900 | Add new socket.
:param UDPSocket sock: UDPSocket to add. | python/lib/socket.py | add | TpmKranz/netsec-scion | python | def add(self, sock, callback):
'\n Add new socket.\n\n :param UDPSocket sock: UDPSocket to add.\n '
if (not sock.is_active()):
return
self._sel.register(sock.sock, selectors.EVENT_READ, (sock, callback)) |
def remove(self, sock):
'\n Remove socket.\n\n :param UDPSocket sock: UDPSocket to remove.\n '
self._sel.unregister(sock.sock) | -9,222,864,604,528,158,000 | Remove socket.
:param UDPSocket sock: UDPSocket to remove. | python/lib/socket.py | remove | TpmKranz/netsec-scion | python | def remove(self, sock):
'\n Remove socket.\n\n :param UDPSocket sock: UDPSocket to remove.\n '
self._sel.unregister(sock.sock) |
def select_(self, timeout=None):
'\n Return the set of UDPSockets that have data pending.\n\n :param float timeout:\n Number of seconds to wait for at least one UDPSocket to become\n ready. ``None`` means wait forever.\n '
for (key, _) in self._sel.select(timeout=timeo... | -1,330,899,738,019,222,300 | Return the set of UDPSockets that have data pending.
:param float timeout:
Number of seconds to wait for at least one UDPSocket to become
ready. ``None`` means wait forever. | python/lib/socket.py | select_ | TpmKranz/netsec-scion | python | def select_(self, timeout=None):
'\n Return the set of UDPSockets that have data pending.\n\n :param float timeout:\n Number of seconds to wait for at least one UDPSocket to become\n ready. ``None`` means wait forever.\n '
for (key, _) in self._sel.select(timeout=timeo... |
def close(self):
'\n Close all sockets.\n '
mapping = self._sel.get_map()
if mapping:
for entry in list(mapping.values()):
sock = entry.data[0]
self.remove(sock)
sock.close()
self._sel.close() | 5,736,516,918,493,458,000 | Close all sockets. | python/lib/socket.py | close | TpmKranz/netsec-scion | python | def close(self):
'\n \n '
mapping = self._sel.get_map()
if mapping:
for entry in list(mapping.values()):
sock = entry.data[0]
self.remove(sock)
sock.close()
self._sel.close() |
@classmethod
def ReceivePayload(cls, socket):
'\n Return only payload, not the raw message, None if failed.\n socket: a blocking socket for read data.\n '
rbufsize = 0
rfile = socket.makefile('rb', rbufsize)
_L.debug('read raw_magic %s', threading.current_thread().name)
try:
... | 4,808,921,762,618,945,000 | Return only payload, not the raw message, None if failed.
socket: a blocking socket for read data. | client/python/unrealcv/__init__.py | ReceivePayload | AI-cecream/unrealcv | python | @classmethod
def ReceivePayload(cls, socket):
'\n Return only payload, not the raw message, None if failed.\n socket: a blocking socket for read data.\n '
rbufsize = 0
rfile = socket.makefile('rb', rbufsize)
_L.debug('read raw_magic %s', threading.current_thread().name)
try:
... |
@classmethod
def WrapAndSendPayload(cls, socket, payload):
'\n Send payload, true if success, false if failed\n '
try:
wbufsize = (- 1)
socket_message = SocketMessage(payload)
wfile = socket.makefile('wb', wbufsize)
wfile.write(struct.pack(fmt, socket_message.magic)... | -1,074,405,196,215,218,600 | Send payload, true if success, false if failed | client/python/unrealcv/__init__.py | WrapAndSendPayload | AI-cecream/unrealcv | python | @classmethod
def WrapAndSendPayload(cls, socket, payload):
'\n \n '
try:
wbufsize = (- 1)
socket_message = SocketMessage(payload)
wfile = socket.makefile('wb', wbufsize)
wfile.write(struct.pack(fmt, socket_message.magic))
wfile.write(struct.pack(fmt, socket_... |
def __init__(self, endpoint, raw_message_handler):
'\n Parameters:\n endpoint: a tuple (ip, port)\n message_handler: a function defined as `def message_handler(msg)` to handle incoming message, msg is a string\n '
self.endpoint = endpoint
self.raw_message_handler = raw_message_ha... | -1,795,471,374,995,031,600 | Parameters:
endpoint: a tuple (ip, port)
message_handler: a function defined as `def message_handler(msg)` to handle incoming message, msg is a string | client/python/unrealcv/__init__.py | __init__ | AI-cecream/unrealcv | python | def __init__(self, endpoint, raw_message_handler):
'\n Parameters:\n endpoint: a tuple (ip, port)\n message_handler: a function defined as `def message_handler(msg)` to handle incoming message, msg is a string\n '
self.endpoint = endpoint
self.raw_message_handler = raw_message_ha... |
def connect(self, timeout=1):
'\n Try to connect to server, return whether connection successful\n '
if self.isconnected():
return True
try:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(self.endpoint)
self.socket = s
_L.debug('BaseClie... | -721,923,439,331,663,600 | Try to connect to server, return whether connection successful | client/python/unrealcv/__init__.py | connect | AI-cecream/unrealcv | python | def connect(self, timeout=1):
'\n \n '
if self.isconnected():
return True
try:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(self.endpoint)
self.socket = s
_L.debug('BaseClient: wait for connection confirm')
self.wait_connected.... |
def __receiving(self):
'\n Receive packages, Extract message from packages\n Call self.message_handler if got a message\n Also check whether client is still connected\n '
_L.debug('BaseClient start receiving in %s', threading.current_thread().name)
while True:
if self.isc... | -5,815,084,445,951,740,000 | Receive packages, Extract message from packages
Call self.message_handler if got a message
Also check whether client is still connected | client/python/unrealcv/__init__.py | __receiving | AI-cecream/unrealcv | python | def __receiving(self):
'\n Receive packages, Extract message from packages\n Call self.message_handler if got a message\n Also check whether client is still connected\n '
_L.debug('BaseClient start receiving in %s', threading.current_thread().name)
while True:
if self.isc... |
def send(self, message):
'\n Send message out, return whether the message was successfully sent\n '
if self.isconnected():
_L.debug('BaseClient: Send message %s', self.socket)
SocketMessage.WrapAndSendPayload(self.socket, message)
return True
else:
_L.error('Fai... | 4,428,672,945,703,160,000 | Send message out, return whether the message was successfully sent | client/python/unrealcv/__init__.py | send | AI-cecream/unrealcv | python | def send(self, message):
'\n \n '
if self.isconnected():
_L.debug('BaseClient: Send message %s', self.socket)
SocketMessage.WrapAndSendPayload(self.socket, message)
return True
else:
_L.error('Fail to send message, client is not connected')
return False |
def request(self, message, timeout=5):
"\n Send a request to server and wait util get a response from server or timeout.\n\n Parameters\n ----------\n cmd : str\n command to control the game. More info can be seen from http://docs.unrealcv.org/en/master/reference/commands.html... | -3,716,979,843,409,303,000 | Send a request to server and wait util get a response from server or timeout.
Parameters
----------
cmd : str
command to control the game. More info can be seen from http://docs.unrealcv.org/en/master/reference/commands.html
Returns
-------
str
plain text message from server
Examples
--------
>>> client = Cl... | client/python/unrealcv/__init__.py | request | AI-cecream/unrealcv | python | def request(self, message, timeout=5):
"\n Send a request to server and wait util get a response from server or timeout.\n\n Parameters\n ----------\n cmd : str\n command to control the game. More info can be seen from http://docs.unrealcv.org/en/master/reference/commands.html... |
def get_listener(arn: Optional[str]=None, load_balancer_arn: Optional[str]=None, port: Optional[int]=None, tags: Optional[Mapping[(str, str)]]=None, opts: Optional[pulumi.InvokeOptions]=None) -> AwaitableGetListenerResult:
'\n > **Note:** `alb.Listener` is known as `lb.Listener`. The functionality is identical.\... | 3,149,790,035,484,996,000 | > **Note:** `alb.Listener` is known as `lb.Listener`. The functionality is identical.
Provides information about a Load Balancer Listener.
This data source can prove useful when a module accepts an LB Listener as an input variable and needs to know the LB it is attached to, or other information specific to the listen... | sdk/python/pulumi_aws/elasticloadbalancingv2/get_listener.py | get_listener | RafalSumislawski/pulumi-aws | python | def get_listener(arn: Optional[str]=None, load_balancer_arn: Optional[str]=None, port: Optional[int]=None, tags: Optional[Mapping[(str, str)]]=None, opts: Optional[pulumi.InvokeOptions]=None) -> AwaitableGetListenerResult:
'\n > **Note:** `alb.Listener` is known as `lb.Listener`. The functionality is identical.\... |
@_utilities.lift_output_func(get_listener)
def get_listener_output(arn: Optional[pulumi.Input[Optional[str]]]=None, load_balancer_arn: Optional[pulumi.Input[Optional[str]]]=None, port: Optional[pulumi.Input[Optional[int]]]=None, tags: Optional[pulumi.Input[Optional[Mapping[(str, str)]]]]=None, opts: Optional[pulumi.Inv... | 1,704,198,829,280,914,400 | > **Note:** `alb.Listener` is known as `lb.Listener`. The functionality is identical.
Provides information about a Load Balancer Listener.
This data source can prove useful when a module accepts an LB Listener as an input variable and needs to know the LB it is attached to, or other information specific to the listen... | sdk/python/pulumi_aws/elasticloadbalancingv2/get_listener.py | get_listener_output | RafalSumislawski/pulumi-aws | python | @_utilities.lift_output_func(get_listener)
def get_listener_output(arn: Optional[pulumi.Input[Optional[str]]]=None, load_balancer_arn: Optional[pulumi.Input[Optional[str]]]=None, port: Optional[pulumi.Input[Optional[int]]]=None, tags: Optional[pulumi.Input[Optional[Mapping[(str, str)]]]]=None, opts: Optional[pulumi.Inv... |
@property
@pulumi.getter
def id(self) -> str:
'\n The provider-assigned unique ID for this managed resource.\n '
return pulumi.get(self, 'id') | 3,214,403,723,836,065,300 | The provider-assigned unique ID for this managed resource. | sdk/python/pulumi_aws/elasticloadbalancingv2/get_listener.py | id | RafalSumislawski/pulumi-aws | python | @property
@pulumi.getter
def id(self) -> str:
'\n \n '
return pulumi.get(self, 'id') |
def get_ami_ids(executable_users: Optional[Sequence[str]]=None, filters: Optional[Sequence[pulumi.InputType['GetAmiIdsFilterArgs']]]=None, name_regex: Optional[str]=None, owners: Optional[Sequence[str]]=None, sort_ascending: Optional[bool]=None, opts: Optional[pulumi.InvokeOptions]=None) -> AwaitableGetAmiIdsResult:
... | 7,074,052,594,644,177,000 | Use this data source to get a list of AMI IDs matching the specified criteria.
## Example Usage
```python
import pulumi
import pulumi_aws as aws
ubuntu = aws.ec2.get_ami_ids(filters=[aws.ec2.GetAmiIdsFilterArgs(
name="name",
values=["ubuntu/images/ubuntu-*-*-amd64-server-*"],
)],
owners=["099... | sdk/python/pulumi_aws/get_ami_ids.py | get_ami_ids | elad-snyk/pulumi-aws | python | def get_ami_ids(executable_users: Optional[Sequence[str]]=None, filters: Optional[Sequence[pulumi.InputType['GetAmiIdsFilterArgs']]]=None, name_regex: Optional[str]=None, owners: Optional[Sequence[str]]=None, sort_ascending: Optional[bool]=None, opts: Optional[pulumi.InvokeOptions]=None) -> AwaitableGetAmiIdsResult:
... |
@property
@pulumi.getter
def id(self) -> str:
'\n The provider-assigned unique ID for this managed resource.\n '
return pulumi.get(self, 'id') | 3,214,403,723,836,065,300 | The provider-assigned unique ID for this managed resource. | sdk/python/pulumi_aws/get_ami_ids.py | id | elad-snyk/pulumi-aws | python | @property
@pulumi.getter
def id(self) -> str:
'\n \n '
return pulumi.get(self, 'id') |
def __init__(self, path_name, surffix, path_surffix):
'\n parameters set\n '
self.NUM_NODES = params['number of nodes in the cluster']
self.env = LraClusterEnv(num_nodes=self.NUM_NODES)
ckpt_path_1 = (((path_surffix + path_name) + '1') + '/model.ckpt')
ckpt_path_2 = (((path_surffix + p... | 4,691,257,712,958,490,000 | parameters set | testbed/SubScheduler.py | __init__ | George-RL-based-container-sche/George | python | def __init__(self, path_name, surffix, path_surffix):
'\n \n '
self.NUM_NODES = params['number of nodes in the cluster']
self.env = LraClusterEnv(num_nodes=self.NUM_NODES)
ckpt_path_1 = (((path_surffix + path_name) + '1') + '/model.ckpt')
ckpt_path_2 = (((path_surffix + path_name) + '2... |
def create_passmanager(self, coupling_map, initial_layout=None):
'Returns a PassManager using self.pass_class(coupling_map, initial_layout)'
passmanager = PassManager()
if initial_layout:
passmanager.append(SetLayout(Layout(initial_layout)))
passmanager.append(self.pass_class(CouplingMap(couplin... | 9,120,436,214,806,114,000 | Returns a PassManager using self.pass_class(coupling_map, initial_layout) | test/python/transpiler/test_mappers.py | create_passmanager | 7338/qiskit-terra | python | def create_passmanager(self, coupling_map, initial_layout=None):
passmanager = PassManager()
if initial_layout:
passmanager.append(SetLayout(Layout(initial_layout)))
passmanager.append(self.pass_class(CouplingMap(coupling_map), **self.additional_args))
return passmanager |
def create_backend(self):
'Returns a Backend.'
return BasicAer.get_backend('qasm_simulator') | 4,351,215,274,467,167,700 | Returns a Backend. | test/python/transpiler/test_mappers.py | create_backend | 7338/qiskit-terra | python | def create_backend(self):
return BasicAer.get_backend('qasm_simulator') |
def generate_ground_truth(self, transpiled_result, filename):
"Generates the expected result into a file.\n\n Checks if transpiled_result matches self.counts by running in a backend\n (self.create_backend()). That's saved in a QASM in filename.\n\n Args:\n transpiled_result (DAGCircu... | -8,147,350,874,310,590,000 | Generates the expected result into a file.
Checks if transpiled_result matches self.counts by running in a backend
(self.create_backend()). That's saved in a QASM in filename.
Args:
transpiled_result (DAGCircuit): The DAGCircuit to execute.
filename (string): Where the QASM is saved. | test/python/transpiler/test_mappers.py | generate_ground_truth | 7338/qiskit-terra | python | def generate_ground_truth(self, transpiled_result, filename):
"Generates the expected result into a file.\n\n Checks if transpiled_result matches self.counts by running in a backend\n (self.create_backend()). That's saved in a QASM in filename.\n\n Args:\n transpiled_result (DAGCircu... |
def assertResult(self, result, circuit):
'Fetches the QASM in circuit.name file and compares it with result.'
qasm_name = ('%s_%s.qasm' % (type(self).__name__, circuit.name))
filename = os.path.join(DIRNAME, qasm_name)
if self.regenerate_expected:
self.generate_ground_truth(result, filename)
... | 5,088,906,843,568,885,000 | Fetches the QASM in circuit.name file and compares it with result. | test/python/transpiler/test_mappers.py | assertResult | 7338/qiskit-terra | python | def assertResult(self, result, circuit):
qasm_name = ('%s_%s.qasm' % (type(self).__name__, circuit.name))
filename = os.path.join(DIRNAME, qasm_name)
if self.regenerate_expected:
self.generate_ground_truth(result, filename)
expected = QuantumCircuit.from_qasm_file(filename)
self.assertE... |
def test_a_cx_to_map(self):
"A single CX needs to be remapped.\n\n q0:----------m-----\n |\n q1:-[H]-(+)--|-m---\n | | |\n q2:------.---|-|-m-\n | | |\n c0:----------.-|-|-\n c1:------------.-|-\n c2:-------... | -8,152,201,310,096,919,000 | A single CX needs to be remapped.
q0:----------m-----
|
q1:-[H]-(+)--|-m---
| | |
q2:------.---|-|-m-
| | |
c0:----------.-|-|-
c1:------------.-|-
c2:--------------.-
CouplingMap map: [1]<-[0]->[2]
expected count: '000': 50%
'110': 50% | test/python/transpiler/test_mappers.py | test_a_cx_to_map | 7338/qiskit-terra | python | def test_a_cx_to_map(self):
"A single CX needs to be remapped.\n\n q0:----------m-----\n |\n q1:-[H]-(+)--|-m---\n | | |\n q2:------.---|-|-m-\n | | |\n c0:----------.-|-|-\n c1:------------.-|-\n c2:-------... |
def test_initial_layout(self):
"Using a non-trivial initial_layout.\n\n q3:----------------m--\n q0:----------m-----|--\n | |\n q1:-[H]-(+)--|-m---|--\n | | | |\n q2:------.---|-|-m-|--\n | | | |\n c0:--------... | -6,708,405,234,380,215,000 | Using a non-trivial initial_layout.
q3:----------------m--
q0:----------m-----|--
| |
q1:-[H]-(+)--|-m---|--
| | | |
q2:------.---|-|-m-|--
| | | |
c0:----------.-|-|-|--
c1:------------.-|-|--
c2:--------------.-|--
c3:----------------.--
CouplingMap map: [1]<-[0... | test/python/transpiler/test_mappers.py | test_initial_layout | 7338/qiskit-terra | python | def test_initial_layout(self):
"Using a non-trivial initial_layout.\n\n q3:----------------m--\n q0:----------m-----|--\n | |\n q1:-[H]-(+)--|-m---|--\n | | | |\n q2:------.---|-|-m-|--\n | | | |\n c0:--------... |
def test_handle_measurement(self):
"Handle measurement correctly.\n\n q0:--.-----(+)-m-------\n | | |\n q1:-(+)-(+)-|--|-m-----\n | | | |\n q2:------|--|--|-|-m---\n | | | | |\n q3:-[H]--.--.--|-|-|-m-\n ... | 1,909,281,407,744,232,700 | Handle measurement correctly.
q0:--.-----(+)-m-------
| | |
q1:-(+)-(+)-|--|-m-----
| | | |
q2:------|--|--|-|-m---
| | | | |
q3:-[H]--.--.--|-|-|-m-
| | | |
c0:------------.-|-|-|-
c1:--------------.-|-|-
c2:----------------.-|-
c3:------------------.-
Cou... | test/python/transpiler/test_mappers.py | test_handle_measurement | 7338/qiskit-terra | python | def test_handle_measurement(self):
"Handle measurement correctly.\n\n q0:--.-----(+)-m-------\n | | |\n q1:-(+)-(+)-|--|-m-----\n | | | |\n q2:------|--|--|-|-m---\n | | | | |\n q3:-[H]--.--.--|-|-|-m-\n ... |
def build_holder_map(self) -> None:
'\n Build a mapping of `HoldableObject` types to their corresponding\n `ObjectHolder`s. This mapping is used in `InterpreterBase` to automatically\n holderify all returned values from methods and functions.\n '
self.holder_map.update({l... | 2,333,314,712,237,210,600 | Build a mapping of `HoldableObject` types to their corresponding
`ObjectHolder`s. This mapping is used in `InterpreterBase` to automatically
holderify all returned values from methods and functions. | mesonbuild/interpreter/interpreter.py | build_holder_map | val-verde/python-meson | python | def build_holder_map(self) -> None:
'\n Build a mapping of `HoldableObject` types to their corresponding\n `ObjectHolder`s. This mapping is used in `InterpreterBase` to automatically\n holderify all returned values from methods and functions.\n '
self.holder_map.update({l... |
def append_holder_map(self, held_type: T.Type[mesonlib.HoldableObject], holder_type: T.Type[ObjectHolder]) -> None:
'\n Adds one additional mapping to the `holder_map`.\n\n The intended use for this function is in the `initialize` method of\n modules to register custom object holder... | 2,906,162,101,009,650,700 | Adds one additional mapping to the `holder_map`.
The intended use for this function is in the `initialize` method of
modules to register custom object holders. | mesonbuild/interpreter/interpreter.py | append_holder_map | val-verde/python-meson | python | def append_holder_map(self, held_type: T.Type[mesonlib.HoldableObject], holder_type: T.Type[ObjectHolder]) -> None:
'\n Adds one additional mapping to the `holder_map`.\n\n The intended use for this function is in the `initialize` method of\n modules to register custom object holder... |
@staticmethod
def _validate_custom_target_outputs(has_multi_in: bool, outputs: T.Iterable[str], name: str) -> None:
'Checks for additional invalid values in a custom_target output.\n\n This cannot be done with typed_kwargs because it requires the number of\n inputs.\n '
for out in outputs:
... | 215,060,965,166,665,920 | Checks for additional invalid values in a custom_target output.
This cannot be done with typed_kwargs because it requires the number of
inputs. | mesonbuild/interpreter/interpreter.py | _validate_custom_target_outputs | val-verde/python-meson | python | @staticmethod
def _validate_custom_target_outputs(has_multi_in: bool, outputs: T.Iterable[str], name: str) -> None:
'Checks for additional invalid values in a custom_target output.\n\n This cannot be done with typed_kwargs because it requires the number of\n inputs.\n '
for out in outputs:
... |
def install_data_impl(self, sources: T.List[mesonlib.File], install_dir: str, install_mode: FileMode, rename: T.Optional[str], tag: T.Optional[str], install_dir_name: T.Optional[str]=None, install_data_type: T.Optional[str]=None) -> build.Data:
'Just the implementation with no validation.'
data = build.Data(sou... | 7,161,431,886,592,338,000 | Just the implementation with no validation. | mesonbuild/interpreter/interpreter.py | install_data_impl | val-verde/python-meson | python | def install_data_impl(self, sources: T.List[mesonlib.File], install_dir: str, install_mode: FileMode, rename: T.Optional[str], tag: T.Optional[str], install_dir_name: T.Optional[str]=None, install_data_type: T.Optional[str]=None) -> build.Data:
data = build.Data(sources, install_dir, (install_dir_name or insta... |
def source_strings_to_files(self, sources: T.List['SourceInputs'], strict: bool=True) -> T.List['SourceOutputs']:
'Lower inputs to a list of Targets and Files, replacing any strings.\n\n :param sources: A raw (Meson DSL) list of inputs (targets, files, and\n strings)\n :raises InterpreterEx... | -1,622,654,216,923,596,800 | Lower inputs to a list of Targets and Files, replacing any strings.
:param sources: A raw (Meson DSL) list of inputs (targets, files, and
strings)
:raises InterpreterException: if any of the inputs are of an invalid type
:return: A list of Targets and Files | mesonbuild/interpreter/interpreter.py | source_strings_to_files | val-verde/python-meson | python | def source_strings_to_files(self, sources: T.List['SourceInputs'], strict: bool=True) -> T.List['SourceOutputs']:
'Lower inputs to a list of Targets and Files, replacing any strings.\n\n :param sources: A raw (Meson DSL) list of inputs (targets, files, and\n strings)\n :raises InterpreterEx... |
def is_locked(hass, entity_id=None):
'Return if the lock is locked based on the statemachine.'
entity_id = (entity_id or ENTITY_ID_ALL_LOCKS)
return hass.states.is_state(entity_id, STATE_LOCKED) | 5,302,125,805,284,089,000 | Return if the lock is locked based on the statemachine. | homeassistant/components/lock/__init__.py | is_locked | Norien/Home-Assistant | python | def is_locked(hass, entity_id=None):
entity_id = (entity_id or ENTITY_ID_ALL_LOCKS)
return hass.states.is_state(entity_id, STATE_LOCKED) |
def lock(hass, entity_id=None, code=None):
'Lock all or specified locks.'
data = {}
if code:
data[ATTR_CODE] = code
if entity_id:
data[ATTR_ENTITY_ID] = entity_id
hass.services.call(DOMAIN, SERVICE_LOCK, data) | 4,340,812,531,294,071,300 | Lock all or specified locks. | homeassistant/components/lock/__init__.py | lock | Norien/Home-Assistant | python | def lock(hass, entity_id=None, code=None):
data = {}
if code:
data[ATTR_CODE] = code
if entity_id:
data[ATTR_ENTITY_ID] = entity_id
hass.services.call(DOMAIN, SERVICE_LOCK, data) |
def unlock(hass, entity_id=None, code=None):
'Unlock all or specified locks.'
data = {}
if code:
data[ATTR_CODE] = code
if entity_id:
data[ATTR_ENTITY_ID] = entity_id
hass.services.call(DOMAIN, SERVICE_UNLOCK, data) | -934,216,263,176,914,000 | Unlock all or specified locks. | homeassistant/components/lock/__init__.py | unlock | Norien/Home-Assistant | python | def unlock(hass, entity_id=None, code=None):
data = {}
if code:
data[ATTR_CODE] = code
if entity_id:
data[ATTR_ENTITY_ID] = entity_id
hass.services.call(DOMAIN, SERVICE_UNLOCK, data) |
@asyncio.coroutine
def async_setup(hass, config):
'Track states and offer events for locks.'
component = EntityComponent(_LOGGER, DOMAIN, hass, SCAN_INTERVAL, GROUP_NAME_ALL_LOCKS)
(yield from component.async_setup(config))
@asyncio.coroutine
def async_handle_lock_service(service):
'Handle ... | 6,413,752,585,001,510,000 | Track states and offer events for locks. | homeassistant/components/lock/__init__.py | async_setup | Norien/Home-Assistant | python | @asyncio.coroutine
def async_setup(hass, config):
component = EntityComponent(_LOGGER, DOMAIN, hass, SCAN_INTERVAL, GROUP_NAME_ALL_LOCKS)
(yield from component.async_setup(config))
@asyncio.coroutine
def async_handle_lock_service(service):
'Handle calls to the lock services.'
targe... |
@asyncio.coroutine
def async_handle_lock_service(service):
'Handle calls to the lock services.'
target_locks = component.async_extract_from_service(service)
code = service.data.get(ATTR_CODE)
for entity in target_locks:
if (service.service == SERVICE_LOCK):
(yield from entity.async_l... | 2,997,979,547,901,405,700 | Handle calls to the lock services. | homeassistant/components/lock/__init__.py | async_handle_lock_service | Norien/Home-Assistant | python | @asyncio.coroutine
def async_handle_lock_service(service):
target_locks = component.async_extract_from_service(service)
code = service.data.get(ATTR_CODE)
for entity in target_locks:
if (service.service == SERVICE_LOCK):
(yield from entity.async_lock(code=code))
else:
... |
@property
def changed_by(self):
'Last change triggered by.'
return None | -9,118,920,222,303,797,000 | Last change triggered by. | homeassistant/components/lock/__init__.py | changed_by | Norien/Home-Assistant | python | @property
def changed_by(self):
return None |
@property
def code_format(self):
'Regex for code format or None if no code is required.'
return None | -1,164,223,299,001,269,500 | Regex for code format or None if no code is required. | homeassistant/components/lock/__init__.py | code_format | Norien/Home-Assistant | python | @property
def code_format(self):
return None |
@property
def is_locked(self):
'Return true if the lock is locked.'
return None | 2,237,670,600,384,488,200 | Return true if the lock is locked. | homeassistant/components/lock/__init__.py | is_locked | Norien/Home-Assistant | python | @property
def is_locked(self):
return None |
def lock(self, **kwargs):
'Lock the lock.'
raise NotImplementedError() | 8,987,824,800,343,890,000 | Lock the lock. | homeassistant/components/lock/__init__.py | lock | Norien/Home-Assistant | python | def lock(self, **kwargs):
raise NotImplementedError() |
def async_lock(self, **kwargs):
'Lock the lock.\n\n This method must be run in the event loop and returns a coroutine.\n '
return self.hass.loop.run_in_executor(None, ft.partial(self.lock, **kwargs)) | -7,589,919,978,103,788,000 | Lock the lock.
This method must be run in the event loop and returns a coroutine. | homeassistant/components/lock/__init__.py | async_lock | Norien/Home-Assistant | python | def async_lock(self, **kwargs):
'Lock the lock.\n\n This method must be run in the event loop and returns a coroutine.\n '
return self.hass.loop.run_in_executor(None, ft.partial(self.lock, **kwargs)) |
def unlock(self, **kwargs):
'Unlock the lock.'
raise NotImplementedError() | -4,919,582,497,115,918,000 | Unlock the lock. | homeassistant/components/lock/__init__.py | unlock | Norien/Home-Assistant | python | def unlock(self, **kwargs):
raise NotImplementedError() |
def async_unlock(self, **kwargs):
'Unlock the lock.\n\n This method must be run in the event loop and returns a coroutine.\n '
return self.hass.loop.run_in_executor(None, ft.partial(self.unlock, **kwargs)) | -4,903,250,694,778,949,000 | Unlock the lock.
This method must be run in the event loop and returns a coroutine. | homeassistant/components/lock/__init__.py | async_unlock | Norien/Home-Assistant | python | def async_unlock(self, **kwargs):
'Unlock the lock.\n\n This method must be run in the event loop and returns a coroutine.\n '
return self.hass.loop.run_in_executor(None, ft.partial(self.unlock, **kwargs)) |
@property
def state_attributes(self):
'Return the state attributes.'
if (self.code_format is None):
return None
state_attr = {ATTR_CODE_FORMAT: self.code_format, ATTR_CHANGED_BY: self.changed_by}
return state_attr | -6,797,728,062,003,370,000 | Return the state attributes. | homeassistant/components/lock/__init__.py | state_attributes | Norien/Home-Assistant | python | @property
def state_attributes(self):
if (self.code_format is None):
return None
state_attr = {ATTR_CODE_FORMAT: self.code_format, ATTR_CHANGED_BY: self.changed_by}
return state_attr |
@property
def state(self):
'Return the state.'
locked = self.is_locked
if (locked is None):
return STATE_UNKNOWN
return (STATE_LOCKED if locked else STATE_UNLOCKED) | 7,724,984,683,789,897,000 | Return the state. | homeassistant/components/lock/__init__.py | state | Norien/Home-Assistant | python | @property
def state(self):
locked = self.is_locked
if (locked is None):
return STATE_UNKNOWN
return (STATE_LOCKED if locked else STATE_UNLOCKED) |
@computed_property
def system_wide_role(self):
'For choosing the role string to show to the user; of all the roles in\n the system-wide context, it shows the highest ranked one (if there are\n multiple) or "No Access" if there are none.\n '
if (self.email in getattr(settings, 'BOOTSTRAP_ADMIN_USERS', [... | 2,767,158,828,240,276,000 | For choosing the role string to show to the user; of all the roles in
the system-wide context, it shows the highest ranked one (if there are
multiple) or "No Access" if there are none. | src/ggrc/models/person.py | system_wide_role | mikecb/ggrc-core | python | @computed_property
def system_wide_role(self):
'For choosing the role string to show to the user; of all the roles in\n the system-wide context, it shows the highest ranked one (if there are\n multiple) or "No Access" if there are none.\n '
if (self.email in getattr(settings, 'BOOTSTRAP_ADMIN_USERS', [... |
def _get_column_by_index(tensor, indices):
'Returns columns from a 2-D tensor by index.'
shape = array_ops.shape(tensor)
p_flat = array_ops.reshape(tensor, [(- 1)])
i_flat = array_ops.reshape((array_ops.reshape((math_ops.range(0, shape[0]) * shape[1]), [(- 1), 1]) + indices), [(- 1)])
return array_o... | 5,450,827,665,698,653,000 | Returns columns from a 2-D tensor by index. | Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/contrib/boosted_trees/python/training/functions/gbdt_batch.py | _get_column_by_index | JustinACoder/H22-GR3-UnrealAI | python | def _get_column_by_index(tensor, indices):
shape = array_ops.shape(tensor)
p_flat = array_ops.reshape(tensor, [(- 1)])
i_flat = array_ops.reshape((array_ops.reshape((math_ops.range(0, shape[0]) * shape[1]), [(- 1), 1]) + indices), [(- 1)])
return array_ops.reshape(array_ops.gather(p_flat, i_flat), ... |
def _make_predictions_dict(stamp, logits, partition_ids, ensemble_stats, used_handlers, leaf_index=None):
'Returns predictions for the given logits and n_classes.\n\n Args:\n stamp: The ensemble stamp.\n logits: A rank 2 `Tensor` with shape [batch_size, n_classes - 1]. that\n contains predictions when n... | -2,629,575,622,720,228,000 | Returns predictions for the given logits and n_classes.
Args:
stamp: The ensemble stamp.
logits: A rank 2 `Tensor` with shape [batch_size, n_classes - 1]. that
contains predictions when no dropout was applied.
partition_ids: A rank 1 `Tensor` with shape [batch_size].
ensemble_stats: A TreeEnsembleStatsOp r... | Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/contrib/boosted_trees/python/training/functions/gbdt_batch.py | _make_predictions_dict | JustinACoder/H22-GR3-UnrealAI | python | def _make_predictions_dict(stamp, logits, partition_ids, ensemble_stats, used_handlers, leaf_index=None):
'Returns predictions for the given logits and n_classes.\n\n Args:\n stamp: The ensemble stamp.\n logits: A rank 2 `Tensor` with shape [batch_size, n_classes - 1]. that\n contains predictions when n... |
def extract_features(features, feature_columns, use_core_columns):
'Extracts columns from a dictionary of features.\n\n Args:\n features: `dict` of `Tensor` objects.\n feature_columns: A list of feature_columns.\n\n Returns:\n Seven values:\n - A list of all feature column names.\n - A list of ... | -7,117,044,286,999,141,000 | Extracts columns from a dictionary of features.
Args:
features: `dict` of `Tensor` objects.
feature_columns: A list of feature_columns.
Returns:
Seven values:
- A list of all feature column names.
- A list of dense floats.
- A list of sparse float feature indices.
- A list of sparse float featur... | Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/contrib/boosted_trees/python/training/functions/gbdt_batch.py | extract_features | JustinACoder/H22-GR3-UnrealAI | python | def extract_features(features, feature_columns, use_core_columns):
'Extracts columns from a dictionary of features.\n\n Args:\n features: `dict` of `Tensor` objects.\n feature_columns: A list of feature_columns.\n\n Returns:\n Seven values:\n - A list of all feature column names.\n - A list of ... |
def _dropout_params(mode, ensemble_stats):
'Returns parameters relevant for dropout.\n\n Args:\n mode: Train/Eval/Infer\n ensemble_stats: A TreeEnsembleStatsOp result tuple.\n\n Returns:\n Whether to apply dropout and a dropout seed.\n '
if (mode == learn.ModeKeys.TRAIN):
apply_dropout = Tru... | 6,727,304,262,766,258,000 | Returns parameters relevant for dropout.
Args:
mode: Train/Eval/Infer
ensemble_stats: A TreeEnsembleStatsOp result tuple.
Returns:
Whether to apply dropout and a dropout seed. | Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/contrib/boosted_trees/python/training/functions/gbdt_batch.py | _dropout_params | JustinACoder/H22-GR3-UnrealAI | python | def _dropout_params(mode, ensemble_stats):
'Returns parameters relevant for dropout.\n\n Args:\n mode: Train/Eval/Infer\n ensemble_stats: A TreeEnsembleStatsOp result tuple.\n\n Returns:\n Whether to apply dropout and a dropout seed.\n '
if (mode == learn.ModeKeys.TRAIN):
apply_dropout = Tru... |
def __init__(self, ps_ops, num_tasks):
'Create a new `_RoundRobinStrategy`.\n\n Args:\n ps_ops: List of Op types to place on PS.\n num_tasks: Number of ps tasks to cycle among.\n '
next_task = 0
self._next_task_per_op = {}
for op in ps_ops:
self._next_task_per_op[op] = next_task
... | -2,634,130,208,861,780,500 | Create a new `_RoundRobinStrategy`.
Args:
ps_ops: List of Op types to place on PS.
num_tasks: Number of ps tasks to cycle among. | Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/contrib/boosted_trees/python/training/functions/gbdt_batch.py | __init__ | JustinACoder/H22-GR3-UnrealAI | python | def __init__(self, ps_ops, num_tasks):
'Create a new `_RoundRobinStrategy`.\n\n Args:\n ps_ops: List of Op types to place on PS.\n num_tasks: Number of ps tasks to cycle among.\n '
next_task = 0
self._next_task_per_op = {}
for op in ps_ops:
self._next_task_per_op[op] = next_task
... |
def __call__(self, op):
'Choose a ps task index for the given `Operation`.\n\n Args:\n op: An `Operation` to be placed on ps.\n\n Returns:\n The next ps task index to use for the `Operation`. Returns the next\n index, in the range `[offset, offset + num_tasks)`.\n\n Raises:\n ValueError... | -5,665,164,402,685,172,000 | Choose a ps task index for the given `Operation`.
Args:
op: An `Operation` to be placed on ps.
Returns:
The next ps task index to use for the `Operation`. Returns the next
index, in the range `[offset, offset + num_tasks)`.
Raises:
ValueError: If attempting to place non-PS Op. | Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/contrib/boosted_trees/python/training/functions/gbdt_batch.py | __call__ | JustinACoder/H22-GR3-UnrealAI | python | def __call__(self, op):
'Choose a ps task index for the given `Operation`.\n\n Args:\n op: An `Operation` to be placed on ps.\n\n Returns:\n The next ps task index to use for the `Operation`. Returns the next\n index, in the range `[offset, offset + num_tasks)`.\n\n Raises:\n ValueError... |
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